Machine Learning Engineer
Bengaluru, India
Company Overview
Join Navatech Labs, where innovation meets excellence. Our forward-thinking team is dedicated to advancing the construction industry through artificial intelligence. As a vital member of our AI team, you will be at the forefront of groundbreaking projects utilising GenAI, Natural Language Processing (NLP), Large Language Model (LLM) training and tuning, MLOps, and Cloud
Key Responsibilities
Professional Experience
Technical Skills
Join Navatech Labs, where innovation meets excellence. Our forward-thinking team is dedicated to advancing the construction industry through artificial intelligence. As a vital member of our AI team, you will be at the forefront of groundbreaking projects utilising GenAI, Natural Language Processing (NLP), Large Language Model (LLM) training and tuning, MLOps, and Cloud
Key Responsibilities
- Develop and implement innovative NLP algorithms and models to address complex
business challenges, Utilise large language models (LLMs) for natural language processing
and generative AI tasks. Develop advanced generative AI solutions using open-source
LLMs.
- Participate in the training and fine-tuning of Large Language Models to ensure optimal
performance and accuracy. Assess machine learning model performance, iterate on
improvements, and apply best practices for model validation.
- Collaborate with cross-functional teams to establish effective MLOps practices, ensuring
seamless deployment, monitoring, and management of machine learning models. Integrate
AI solutions into existing platforms, working closely with various teams.
- Leverage cloud platforms for scalable and efficient machine learning solutions, utilising
services like AWS or Google Cloud.
Requirements
Professional Experience
- Proven experience (2-3 years) in developing and deploying machine learning models, with
a focus on NLP.
- Experience in developing and deploying chatbot or conversational AI systems.
Technical Skills
- Strong programming skills in languages such as Java and Python, and proficiency with ML
frameworks (e.g., TensorFlow, PyTorch).
- Experience in using LLMs for natural language processing or generative AI tasks.
- Experience with MLOps tools and practices for model deployment, monitoring, and
automation.
- Familiarity with cloud services and infrastructure for machine learning applications.
- Strong understanding of AI, Generative AI patterns such as RAG and prompt engineering
techniques.
- Excellent problem-solving skills and a team-oriented mindset.
- Strong communication skills to convey complex technical concepts to both technical and
non-technical stakeholders.
Benefits
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI projects
- Collaborative and inclusive team environment.
- Continuous learning and professional development opportunities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: AWS Chatbots Conversational AI Engineering GCP Generative AI Google Cloud Java LLMs Machine Learning ML models MLOps Model deployment NLP Open Source Prompt engineering Python PyTorch RAG TensorFlow
Perks/benefits: Career development Competitive pay
Region:
Asia/Pacific
Country:
India
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